OBJECTIVES: To analyze the early clinical outcomes of the Xcor^TM transcatheter aortic valve replacement (TAVR) system in treating severe aortic stenosis. This study has been registered at Chinese Clinical Trial Registry (ChiCTR2200065593). METHODS: This single-arm, prospective clinical trial enrolled patients with severe aortic stenosis treated with the Xcor^TM TAVR system at the Section of Heart Valve & Coronary Artery Surgery, Guangdong Provincial People's Hospital. Perioperative and follow-up parameters were compared to evaluate differences in hemodynamic outcomes. All-cause mortality, aortic regurgitation, paravalvular leakage, cerebrovascular events, and reoperation were analyzed. RESULTS: Thirty-two patients with severe aortic stenosis were included (20 males, 12 females), with (70.9±4.3) years old and a Society of Thoracic Surgeons (STS) score of 6.45% (6.07%, 7.28%). Notably, 87.5% of patients had New York Heart Association (NYHA) class≥Ⅲ. All patients underwent successful Xcor^TM bioprosthesis implantation, achieving an immediate technical success rate of 100.0% and device success rate of 96.9%. Mean aortic valve gradient decreased from (55.21±23.17) mmHg (1 mmHg=0.133 kPa) to (8.45±5.30) mmHg, peak aortic jet velocity decreased from (4.66±0.85) m/s to (1.99±0.48) m/s, aortic valve area increased from (0.66±0.21) cm² to (2.09±0.67) cm² (all P<0.01). Intraoperative ventricular fibrillation occurred in one patient, while one case exhibited moderate prosthetic valve regurgitation and paravalvular leakage post-procedure. At 12-month follow-up, sustained improvements were observed in cardiac function, left ventricular ejection fraction, hemodynamic parameters, and SF-12 quality-of-life scores (all P<0.01). All-cause mortality was 12.5% (4/32), with 13.8% (4/29) developing moderate paravalvular leakage. CONCLUSIONS The Xcor^TM TAVR system demonstrated favorable early outcomes in severe aortic stenosis patients, significantly improving symptoms and hemodynamics while exhibiting excellent performance in preventing malignant arrhythmias and coronary obstruction.
Humans ; Male ; Female ; Aortic Valve Stenosis/surgery* ; Transcatheter Aortic Valve Replacement/methods* ; Aged ; Follow-Up Studies ; Prospective Studies ; Treatment Outcome ; Aged, 80 and over ; Heart Valve Prosthesis ; Middle Aged

Microorganisms, abundant in nature, are prolific producers of a diverse array of natural products (NPs) that are fundamental in the development of innovative therapeutics. Despite their significant potential, the field faces considerable challenges, including the continuous emergence of potential health threats, as well as novel pathogen strains and viruses. The advent and implementation of advanced technologies, such as culture strategies, genomics mining, and artificial intelligence (AI), are facilitating a paradigm shift in pharmaceutical research, introducing innovative methodologies and perspectives. The development and maturation of these technologies have enhanced the exploration of microbial-derived NPs, thereby advancing pharmaceutical research and development. This review synthesizes recent developments in this context, emphasizing their applications in pharmaceutical discovery and development. Through systematic analysis and synthesis, it provides objective insights into the promising prospects and future direction of this essential field.
Biological Products/chemistry* ; Drug Discovery ; Humans ; Artificial Intelligence ; Bacteria/metabolism*

Animals ; Macaca mulatta ; Optic Disk ; Glaucoma ; Craniocerebral Trauma ; Intraocular Pressure ; Low Tension Glaucoma

ObjectiveTo genotype Oncomelania hupensis， based on microsatellites， in different snail-bearing environments in Jiaxing City， Zhejiang Province， for population genetics analysis in order to explore the reasons and influencing factors for the existence or proliferation of snails and to provide scientific basis for effective monitoring and control of snails. MethodsA total of 90 snail samples from three populations were collected in Yaobang Village （YB） and Sanxing Village （SX） in Pinghu City， and Yunhe Farm （YH） in Xiuzhou District， all were selected for snail checking in key snail habitats of Jiaxing City in 2022. DNA of the snails was genotyped and analyzed for population genetics using nine microsatellite loci. ResultsA total of 84 alleles were observed， and the mean number of alleles （Na） was 7.889， 5.667， and 3.778 for YB， SX， and YH respectively； the number of effective alleles （NeA） was 4.807， 3.329， and 2.294， respectively； and the coefficients of inbreeding （F_IS） were 0.400， 0.377， and 0.493， respectively. Under the Infinite Allele Model （IAM）， the SX and YH might have a recent bottleneck. The NEstimator and LDNe software calculated effective population sizes （Ne） were above 31.9. AMOVA analysis showed that the variation of snails in the three populations mainly existed among individuals， accounting for 41.4% of the total variation. The value of the index of genetic differentiation between populations （F_ST） was 0.286， indicating a high degree of genetic differentiation. The results of the principal component analysis and phylogenetic tree were consistent， and the three populations were divided into two lineages， YB and SX were one lineage， and YH belonged to another independent lineage. Population history and dynamics analysis showed that the gene flow of the three populations was insufficient， population divergence history indicated that YH might have diverged from SX first， and YB was produced by the contact fusion of SX and YH. ConclusionThe genetic diversity of snail populations in Jiaxing City is generally low， and the snail populations are unstable， with a great degree of genetic differentiation and insufficient gene flow among populations. This study can provide a basis for evaluating the effectiveness of the control of the snail as well as monitoring the trend of the spread of the snail.

An increasing number of studies suggested that the tumor microenvironment exerts a substantial influence on the pathophysiology of pancreatic cancer. As a crucial component of the tumor microenvironment,the tumor stroma plays a pivotal role in the occurrence,development,and chemotherapy resistance of pancreatic cancer. By serving as a proxy for the interaction between tumor cells and the microenvironment,the tumor stroma ratio(TSR) has emerged as a focal point of investigation in recent years. At present,numerous studies show that a low TSR is a protective factor for the prognosis of resectable pancreatic cancer. Additionally, patients with a low TSR are more suitable for the gemcitabine and albumin-bound paclitaxel chemotherapy regimen. But these researches are not conclusive, and there is still a gap between guiding precision treatment. Further research and exploration are required. Integration of artificial intelligence deep learning models into traditional pathological and imaging assessments facilitates precise evaluation of the TSR. It can also enable stratification and precision treatment of pancreatic cancer patients based on this index.

Objective:To explore the risk factors for stone recurrence after laparoscopic common bile duct exploration (LCBDE) combined with laparoscopic cholecystectomy (LC) and to develop a risk prediction model.Methods:Clinical data of 344 patients with bile duct stones who underwent LCBDE combined with LC at Hebei General Hospital from January 2016 to March 2022 were retrospectively analyzed, including 165 males and 179 females, aged (62.72±13.56) years old. Patients were divided into two groups based on whether stones recurred during the follow-up period: recurrence group ( n=37) and non-recurrence group ( n=307). Clinical data such as common bile duct diameter, stone size, number of stones and duration of T-tube drainage were collected from the patients. Logistic regression was used to analyze the risk factors for postoperative stone recurrence, and then developed a logistic regression model. The predictive efficacy of the model was assessed by the area under the receiver operating characteristic (ROC) curve, and the Hosmer-Lemeshow test. Results:The results of multifactorial logistic regression analysis showed that patients with ≥2 choledochal stones had a high risk of stone recurrence after LCBDE combined with LC ( OR=3.094, 95% CI: 1.069-8.954, P=0.037). In contrast, regular postoperative oral choleretic medication was a protective factor for stone recurrence after LCBDE combined with LC ( OR=0.160, 95% CI: 0.072-0.354, P=0.001). A logistic regression model, based on the number of common bile duct stones and regular postoperative oral choleretic medication, was developed to predict the recurrence of bile duct stones in patients who underwent LCBDE combined with LC. The area under the ROC curve for this model was found to be 0.821 (95% CI: 0.758-0.885). The Hosmer-Lemeshow test, χ 2=7.26, P=0.509, suggested that there is good agreement between the model's predicted probabilities and ideal probabilities. Conclusions:The number of stones (≥2) is an independent risk factor for stone recurrence after LCBDE combined with LC in patients with bile duct stones. Regular postoperative oral choleretic medication is a protective factor for stone recurrence after LCBDE combined with LC. Predictive models based on the number of choledochal stones and regular postoperative oral choleretic medication have better efficacy in predicting postoperative stone recurrence.

Pancreatic neuroendocrine neoplasm (pNEN) is highly heterogeneous, and the prognosis varies among tumors of different stages and grades. However, there is lacking high pro-gnostic predictors with sensitivity and specificity. Inflammation plays a pivotal role in the occurrence and development of different tumors, various inflammatory markers such as neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, lymphocyte-monocyte ratio are of great significance in the diagnosis, treat-ment, and prognosis of tumors. Several studies have demonstrated that inflammatory markers are associated with poor prognosis and can serve as predictive factors for tumor prognosis. The authors summarize recent advances in the researches focused on the prognostic value of inflamma-tory markers in pNEN, in order to provide novel insights for clinical decision-making of pNEN.

An increasing number of studies suggested that the tumor microenvironment exerts a substantial influence on the pathophysiology of pancreatic cancer. As a crucial component of the tumor microenvironment,the tumor stroma plays a pivotal role in the occurrence,development,and chemotherapy resistance of pancreatic cancer. By serving as a proxy for the interaction between tumor cells and the microenvironment,the tumor stroma ratio(TSR) has emerged as a focal point of investigation in recent years. At present,numerous studies show that a low TSR is a protective factor for the prognosis of resectable pancreatic cancer. Additionally, patients with a low TSR are more suitable for the gemcitabine and albumin-bound paclitaxel chemotherapy regimen. But these researches are not conclusive, and there is still a gap between guiding precision treatment. Further research and exploration are required. Integration of artificial intelligence deep learning models into traditional pathological and imaging assessments facilitates precise evaluation of the TSR. It can also enable stratification and precision treatment of pancreatic cancer patients based on this index.

In the context of the prevention and control for coronavirus disease (COVID), public health emergency governance has been incorporated into an important part of the national governance system, and the "combination of peacetime and wartime" has become an important principle of public health emergency governance. Based on the experience of public health emergency management in large cities and the theory of collaborative governance, this study analyzed the problems and obstacles of general hospitals in coping with emerging respiratory infectious diseases. It is proposed to select general hospitals above tertiary level in the region to build peacetime and wartime combined emergency hospital, establish standardized conversion procedures and strengthen the construction of key elements of integrated emergency hospitals, so as to provide new ideas for the construction of emergency medical system "combination of peacetime and wartime" mechanism and improve the "combination of civilian and combat" public health emergency governance system.

Obesity, alcohol consumption and metabolic diseases can cause the accumula-tion and infiltration of adipocytes in pancreatic tissues, resulting in pancreatic steatosis (PS). There is little clinical concern about PS, which has not yet attracted the attention of the physicians. How-ever, previous studies have confirmed that PS is associated with the carcinogenesis, development, surgical complications and prognosis of pancreatic cancer (PC). Within the environment of PS, adipocytes, macrophages and other inflammatory cells infiltrate among the acinar cells, aggravating the local inflammation in pancreatic tissue, stimulating the atypical hyperplasia of the pancreatic duct epithelium, and promoting the occurrence of PC. Patients with PS have a significantly higher incidence of PC and are more susceptible to lymph node metastasis, with worse long-term prognosis. The texture of pancreas become soft and fragile under the condition of PS, and the risk of pancreatic fistula and its related complications evidently increase after pancreatic resections. In terms of imaging examinations, it is common to use abdominal computed tomography or magnetic resonance imaging for the diagnosis of PS. In addition, a large number of adipocytes infiltration in pancreatic acinar tissue can confirm the diagnosis of PS histologically. Surgeons should pay more attention to PS, be familiar with its diagnostic criteria and clinical significance, and take active prevention and early intervention to reduce the occurrence of PC. Regard to PC patients complicated with PS, blood glucose, blood pressure and other metabolic diseases should be well controlled during the perioperative period, surgical details should be comprehensively considered to ensure the quality of pancreatojejunostomy and reduce postoperative complications. Combined with self-experience, the author comprehensively analyzes research advances at home and abroad, summarizes the role of PS in the occurrence and development of PC and its important influence on clinical diagnosis and treatment, and explores the perioperative management strategy of PC patients with PS.